Results 1 to 10 of about 20,846,472 (359)
Chemical trends of deep levels in van der Waals semiconductors [PDF]
Nature Communications, 2020 The optical and electronic properties of semiconducting transition metal dichalcogenides are strongly dependent on native defects within their crystal lattice.
Penghong Ci +13 more
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Materials Science-Poland, 2013 In this study we present the results of investigations on Schottky Au-GaN diodes by means of conventional DLTS and Laplace DLTS methods within the temperature range of 77–350 K. Si-doped GaN layers were grown by Molecular Beam Epitaxy technique (MBE) on sapphire substrates.
P. Kamyczek +3 more
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DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Vision [PDF]
Computer Vision and Pattern Recognition, 2023 We have witnessed significant progress in deep learning-based 3D vision, ranging from neural radiance field (NeRF) based 3D representation learning to applications in novel view synthesis (NVS).
Lu Ling +19 more
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Deep Industrial Image Anomaly Detection: A Survey [PDF]
Machine Intelligence Research, 2023 The recent rapid development of deep learning has laid a milestone in industrial image anomaly detection (IAD). In this paper, we provide a comprehensive review of deep learning-based image anomaly detection techniques, from the perspectives of neural ...
Jiaqi Liu +6 more
semanticscholar +1 more source
Designing a Practical Degradation Model for Deep Blind Image Super-Resolution [PDF]
IEEE International Conference on Computer Vision, 2021 It is widely acknowledged that single image super-resolution (SISR) methods would not perform well if the assumed degradation model deviates from those in real images.
K. Zhang +3 more
semanticscholar +1 more source
Deep Levels in Semiconductors [PDF]
Europhysics News, 1983 Abstract The 3d transition element ion impurities in silicon are reviewed for the broad insight they provide in understanding deep levels in semiconductors. As interstitials, their interaction with the host tends to confine the d-levels to the forbidden gap, providing many deep states.
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Scaling deep learning for materials discovery
Nature, 2023 Novel functional materials enable fundamental breakthroughs across technological applications from clean energy to information processing^ 1 – 11 . From microchips to batteries and photovoltaics, discovery of inorganic crystals has been bottlenecked by ...
Amil Merchant +5 more
semanticscholar +1 more source
Influence of impurities and structural defects on the properties of CdTe- and CdZnTe-based detectors
Tekhnologiya i Konstruirovanie v Elektronnoi Apparature, 2022 The most researched materials for uncooled semiconductor detectors of ionizing radiation are CdTe:Cl and Cd0.9Zn0.1Te, which allow to obtain detectors with high values of resistivity ρ and electron mobility. In the process of producing detector materials,
Alexandr Kondrik, Gennadiy Kovtun
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Influence of radiation defects on the electrophysical and detector properties of CdTe:Cl irradiated by neutrons [PDF]
Tekhnologiya i Konstruirovanie v Elektronnoi Apparature, 2020 A promising material for semiconductor detectors of ionizing radiation is CdTe:Cl which allows obtaining detectors with high resistivity ρ and electron mobility μn.
Kondrik A. I., Kovtun G. P.
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Influence of deep levels on the electrical transport properties of CdZnTeSe detectors [PDF]
Journal of Applied Physics, 2018 We investigated the influence of deep levels on the electrical transport properties of CdZnTeSe (CZTS) radiation detectors by comparing experimental data with numerical simulations based on the simultaneous solution of drift-diffusion and Poisson ...
M. Rejhon +6 more
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